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ManyIVsNets

Overview

ManyIVsNets is a comprehensive R package for Environmental Phillips Curve (EPC) analysis featuring state-of-the-art econometric methods and network analysis.

Key Results based on example data

• 21 out of 24 instrument approaches show strong performance (F > 10)
• Main finding: 1% ↑ unemployment → 0.071% ↓ CO2 emissions
• Network density: Transfer entropy (0.095), Country network (0.25)

Installation

  #Install from GitHub
  devtools::install_github("avishekb9/ManyIVsNets")

Quick Start

library(ManyIVsNets)

#Run complete analysis pipeline 
results <- run_complete_epc_analysis(
data_file = "epc_data_new_ar5_indicators.csv", # Your data file
output_dir = "epc_analysis_results"
)

#View instrument strength results
print(results$strength_results)

Features

• Real multidimensional instruments from economic/geographic data
• Transfer entropy causal discovery using RTransferEntropy
• 24 different instrument approaches tested
• Comprehensive network analysis with country codes

Citation

If you use this package in your research, please cite:

APA Style: Bhandari, A. (2025). ManyIVsNets: Environmental Phillips Curve Analysis with Multiple Instrumental Variables and Networks [Computer software]. GitHub. https://github.com/avishekb9/ManyIVsNets

Chicago Style: Bhandari, Avishek. “ManyIVsNets: Environmental Phillips Curve Analysis with Multiple Instrumental Variables and Networks.” GitHub, 2025. https://github.com/avishekb9/ManyIVsNets.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.